Recently, there has been a significant amount of interest in automatically
creating large-scale knowledge bases (KBs) from unstructured text. The
Web-scale knowledge extraction task presents a unique set of opportunities
and challenges. The resulting knowledge bases can have the advantage of
scale and coverage. They have been enriched by linking to the Semantic Web,
in particular the growing linked open dataset (LOD). These semantic
knowledge bases have been used for a wide variety of Natural Language
Processing, Knowledge Representation, and Reasoning applications such as

This workshop will bring together NLP researchers whose work deals with relational aspects of language understanding. The ability to reason about semantic relations is a fundamental linguistic competence: it is through recognising explicit and implicit relations between entities and events that humans (and machines) can form a coherent representation of a text's meaning. Numerous recent workshops have focused on lexical semantics; RELMS-11 will highlight relational semantics.